Lead AI Engineer
Applied Materials (company site, opens in a new tab)5–10 yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy advanced AI applications including LLMs, RAG systems, multi-agent workflows, and AI services for engineering co-pilots and knowledge assistants.
- Fine-tune foundation models, build embedding pipelines, vector search systems, and agent orchestration frameworks; evaluate model performance and business impact.
- Lead architecture reviews, mentor junior engineers, establish best practices, and collaborate with product and business stakeholders.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or Software Engineering.
- 5 to 10 years of software engineering experience with at least 3 years in AI/ML.
- Strong expertise in Python, PyTorch, Transformers, LLMs, and vector databases.
- Experience building production AI systems.
Ideal Candidate Profile
- Experienced in developing production-grade AI systems with deep knowledge of LLMs and vector search technologies.
- Familiar with AI frameworks and tools like LangGraph, FastAPI, LangChain, Semantic Kernel, Azure AI Foundry, and cloud integrations (Databricks, AWS).
- Capable of leading technical teams, mentoring engineers, and influencing architecture and best practices in a complex engineering environment.